Feng Huang

2.1k citations
72 papers · 1.5k indexed · 1 hit paper · h-index 18
Topics
Advanced MRI Techniques and Applications (43 papers)Medical Imaging Techniques and Applications (32 papers)Sparse and Compressive Sensing Techniques (15 papers)

In The Last Decade

Feng Huang

69 papers receiving 1.5k citations

Hit Papers

Compressive Sensing via Nonlocal Low-Rank Regularization20142026201820222014100200300400

Peers

Feng Huang
Comparison fields: 5 of 90
  • Radiology, Nuclear Medicine and Imaging 940
  • Computational Mechanics 628
  • Computer Vision and Pattern Recognition 383
  • Biomedical Engineering 379
  • Atomic and Molecular Physics, and Optics 147
Replace Saiprasad Ravishankar with:
Saiprasad Ravishankar United States
Sajan Goud Lingala United States
Qiegen Liu China
Fan Lam United States
Pierre Weiss France
Mariappan S. Nadar United States
Greg Ongie United States
Ali Bilgin United States
Bo Zhao United States
Edward DiBella United States
Feng Huang relative to Saiprasad Ravishankar United States Saiprasad Ravishankar's profile →
Citations per field
00.5×2.6×
Saiprasad Ravishankar · 1×
Citations per year

Countries citing papers authored by Feng Huang

Since Specialization
Citations

This map shows the geographic impact of Feng Huang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Feng Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Huang more than expected).

Fields of papers citing papers by Feng Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Feng Huang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Feng Huang. The network helps show where Feng Huang may publish in the future.

Co-authorship network of co-authors of Feng Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Huang. A scholar is included among the top collaborators of Feng Huang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Feng Huang. Feng Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 2
4 1
5 38
6 1
7 2
8 11
9 11
10 6
11 35
12
MR Image Reconstruction via Sparse Representation: Modeling and Algorithm.
2
13
An efficient algorithm for harmonic response analysis of structures based on a reduced-basis method
1
14 26
15 15
16 9
17 113
18 3
19 16
20 6

About Feng Huang

Feng Huang is a scholar working on Radiology, Nuclear Medicine and Imaging, Computational Mechanics and Signal Processing, having authored 72 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (43 papers), Medical Imaging Techniques and Applications (32 papers) and Sparse and Compressive Sensing Techniques (15 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (940 citations), Computational Mathematics (21 citations) and Computational Mechanics (628 citations). Feng Huang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xin Li, Weisheng Dong, Yi Ma, Guangming Shi, George R. Duensing, Sathya Vijayakumar, Yu Li, Yunmei Chen, Xiaojing Ye and Tan Lee. Their work appears in journals such as IEEE Transactions on Image Processing, Magnetic Resonance in Medicine and IEEE Transactions on Medical Imaging.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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